MétaCan
ENFR
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

Export CSVExport JSONAPI query

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Service-Learning and Community Engagement
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,271 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,271 works in the cohort · of 4,299,418page 25 of 26

Labels cover 4 of 1,271 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,271 of 1,271 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Achieving Excellence and Engaging Members
Andrew J. Halayko
2023· editorial· en· American Journal of Respiratory Cell and Molecular Biology· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Advocacy in a Time of Divisive Discourse
Patricia Nunez, R. Keith Franklin
2025· article· en· Professional Case Management· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Service-Learning
Alyssa N. Palazzolo
2020· book-chapter· en· Advances in educational marketing, administration, and leadership book series· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Student Campaigns
Donatella della Porta, Lorenzo Cini, César Guzmán‐Concha
2020· book-chapter· en· Bristol University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
You in Guelph
2011· other· en· The Atrium (University of Guelph)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
University of Ontario
2023· book-chapter· en· Palgrave Macmillan UK eBooks· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
FOCUS
2007· article· Scholar Works (Boise State University)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
The Impact of Co-production
2017· book· en· Policy Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Research Grants from the CSHP Research and Education Foundation
Kelly Babcock, Carolyn Bornstein, George De Angelis, Michael Hughes, Heather Neville, Glen J. Pearson +3 more
2012· article· en· The Canadian Journal of Hospital Pharmacy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueno abstractunlabeled
Setting our Sights on a Sustainable Future
Megan Riordon
2023· article· en· The Canadian Journal of Hospital Pharmacy· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Conversation with Ted Jackson, Carleton University
Natalia Khanenko-Friesen
2017· article· en· Engaged Scholar Journal Community-Engaged Research Teaching and Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Community Engagements Approaches
Connor McGookin
2025· book-chapter· en· Energy, climate and the environment· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About